Study of adaptive Gaussian mixture models for dynamic scenes
Jiasheng Song · Computer Engineering and Applications Journal · 2012
Gaussian mixture modeling has become the standard method for background modeling of the implementation of background subtraction in video sequences,because of its ability to track multiple pixel value distributions in complex variational scenes.This paper analyzes the theory framework underlying the method,and illuminates the two aspects to improve the method:one is updating of model parameters,the other is the classifying tactics.Based on the proposed algorithm,the survey discusses controlling of learning rate,adaptive number of Gaussian models,algorithm evaluation and algorithm initializations.These analysis and discussions expect to provide new ideas and directions for the further research.